Autonomous robotic systems and generative design for advanced manufacturing
Genoma Labs builds autonomous manufacturing infrastructure using ROS 2, NVIDIA Isaac Sim, and Jetson for real-time robot control and simulation. The stack reveals a focus on hardware-software integration—Raspberry Pi + C++ + Java backbone paired with CAD tools (SolidWorks, Fusion 360, Rhinoceros) and NVIDIA's robotics stack. Current projects span robot safety systems, human-machine interfaces, and layer-deposition detection, grounded in three core pain points: collaborative-robot safety, production downtime, and output targets.
Genoma Labs is a Los Angeles-based manufacturer focused on autonomous robotic systems, generative design, and advanced manufacturing processes including 3D printing and bio-plastic development. The company operates as a research and development operation with a 5-person core team—two engineers, one designer, one manufacturing operator, and one sales contact—split between the United States and Peru. Projects are in active prototype and deployment phases, targeting manufacturing environments where collaborative robots, safety systems, and real-time IoT control are primary technical challenges.
Python, C++, Java, ROS 2, NVIDIA Isaac Sim, NVIDIA Jetson, Raspberry Pi for robotics; SolidWorks, Fusion 360, Rhinoceros, Grasshopper for CAD and generative design; React, Angular, MySQL, MongoDB for backend systems.
Human-to-machine interfaces, robot safety systems, layer-deposition detection, robotic simulation environments using NVIDIA Isaac Sim, Jetson-based deployment optimization, and IoT control applications for manufacturing environments.
Los Angeles, California. The company also has hiring activity in Peru and maintains a 5-person team split across engineering, design, manufacturing, and sales roles.
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